Yue Wang is a Senior Data Scientist at Cummins Inc. with experience in anomaly detection in time series data, natural language processing, and statistical quality control. Prior to this, Yue worked as a Research Assistant at Purdue University, focusing on anomaly detection, statistical quality control, and statistical analysis for accumulation of errors in assembly. Yue also has experience as a Research Intern at Cummins Inc., where they built data pipelines for root cause analysis and identified opportunities for quality improvement. With a PhD in Environmental and Ecological Engineering from Purdue University, Yue's educational background also includes degrees in Electrical and Computer Engineering, Mechatronics, and Mechanical Engineering and Automation.
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